Prompt Engineering

Course Overview

Prompt Engineering is a hands‑on course that teaches learners how to design, refine, and optimize prompts to get high‑quality outputs from large language models (LLMs) and generative AI systems. The course blends foundational concepts with real‑world applications, enabling participants to build structured prompts for reasoning, creativity, analysis, automation, and problem‑solving across domains. Learners experiment with different prompting strategies and learn how to guide AI systems reliably and responsibly.

Target Audience

This course is ideal for:

• Data analysts, data scientists, and AI practitioners

• HR, marketing, product, and operations professionals using AI tools

• Developers integrating LLMs into applications

• Students or career switchers entering AI, automation, or digital transformation roles

• Anyone who wants to improve the quality, accuracy, and usefulness of AI‑generated outputs

Course Outcomes

By the end of this course, learners will be able to:

• Understand how LLMs interpret and respond to prompts

• Design effective prompts using role prompting, task decomposition, and structured instructions

• Apply advanced techniques such as chain‑of‑thought, few‑shot prompting, and iterative refinement

• Build prompts for analysis, summarization, ideation, coding, and decision support

• Reduce hallucinations and improve reliability through constraint‑based prompting

• Evaluate AI outputs for clarity, accuracy, and ethical considerations

• Apply prompt engineering to real‑world business and technical scenarios